Evolutionary.jl
Evolutionary & genetic algorithms for Julia
Install / Use
/learn @wildart/Evolutionary.jlREADME
Evolutionary
A Julia package for evolutionary & genetic algorithms.
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Installation
The package can be installed with the Julia package manager.
From the Julia REPL, type ] to enter the Pkg REPL mode and run:
pkg> add Evolutionary
Algorithms
- (μ/ρ(+/,)λ)-SA-ES (ES)
- (μ/μ<sub>I</sub>,λ)-CMA-ES (CMAES)
- Genetic Algorithms (GA)
- Multi-objective: NSGA-II (NSGA2)
- Differential Evolution (DE)
- Genetic Programming (TreeGP)
Operators
-
Mutations
- ES
- (an)isotropic Gaussian
- (an)isotropic Cauchy
- GA
- binary
- flip
- inversion
- real valued
- uniform
- Gaussian
- BGA (domain range)
- (MI)PM (power)
- PLM (polynomial)
- combinatorial
- inversion
- insertion
- swap2
- scramble
- shifting
- binary
- ES
-
Recombinations
- average
- marriage
-
Crossovers
- binary
- SPX (single point)
- TPX (two point)
- SHFX (shuffle)
- UX (uniform)
- BINX (binary)
- EXPX (exponential)
- BSX (binary subset)
- real valued
- DC (discrete)
- AX (average)
- WAX (weighted average)
- IC (intermediate)
- LC (line)
- HX (heuristic)
- (MI)LX (Laplace)
- SBX (simulated binary)
- combinatorial
- PMX (partially-mapped)
- OX1 (order)
- OX2 (order-based)
- CX (cycle)
- POS (position-based)
- binary
-
Selections
- rank-based fitness assignment
- (μ, λ)-uniform ranking
- roulette (fitness proportionate selection, FSP)
- stochastic universal sampling (SUS)
- tournament
- truncation
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